About Us:

Modal is building the serverless compute platform to support the next generation of AI companies. In order to deliver the developer experience we wanted, we went deep and built our own infrastructure—including our own custom file system, container runtime, scheduler, container image builder, and much more.

We're a small team based out of New York, Stockholm and San Francisco. In just one year, we've reached 8-figure revenue, tripled our headcount, scaled to support thousands of GPUs, and raised over $32M in funding.

Working at Modal means joining one of the fastest-growing AI infrastructure organizations at an early stage, with many opportunities to grow within the company. Our team includes creators of popular open-source projects (e.g. Seaborn, Luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.

The Role:

Modal is looking for a machine learning engineer to help us with some of the most challenging AI/ML problems our customers are facing. As a Forward Deployed ML Engineer, you will:

• Help our customers architect and build complex AI applications on Modal

• Work with companies developing some of the most cutting edge AI use cases in the world, such as Lovable, Suno and Mistral AI

• Optimize performance for open-source models and frameworks

• Write examples and build demos that showcase Modal

• Contribute to the core Modal stack

• Help our community build cool stuff on top of Modal

Requirements:

We are looking for someone with these skills:

• At least a few years of professional ML engineering experience (or solutions engineering or similar)

• Clear communicator who can make complex ideas easy to understand

• Solid business sense and ability to build trust and strong working relationships

• Willing to work in-person in Stockholm